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Abbiategrasso Brain Bank Protocol for Collecting, Processing and Characterizing Aging Brains
Published on: June 3, 2020
Hippocampal sclerosis in senile dementia of the neurofibrillary tangle type
Nao Tahara1, Daisuke Tahara1, Akio Akagi2
1Department of Neuropathology, Institute for Medical Science of Aging, Aichi Medical University, 1-1 Yazakokarimata, Nagakute, Aichi 480-1195, Japan; Department of Neurology, Shimane University, 89-1 Enya-cho, Izumo, Shimane 693-8501, Japan.
Introduction:
Senile dementia of the neurofibrillary tangle type (SD-NFT) is a subset of dementia in elderly individuals. Recent studies have reported a correlation between hippocampal sclerosis (HS) and aging. This study aimed to investigate the relationship between HS and SD-NFT.
Methods:
We conducted a clinical and neuropathological review of Japanese patients diagnosed with SD-NFT. Hematoxylin-eosin and Klüver-Barrera staining, Gallyas silver impregnation, and immunohistochemistry were employed. Pathological assessments focused on identifying HS, neuritic plaques, and phosphorylated transactive response DNA-binding protein 43 (p-TDP-43)-positive inclusions. Additionally, we quantified the densities of neurofibrillary tangles (NFTs) and ghost tangles (GTs) within the hippocampal CA1 region.
Results:
Nine patients met the criteria for SD-NFT from the patients who underwent consecutive autopsies from 1994 to 2022 at our institute. The mean ages at onset and death were 84.0 ± 6.8 years (range, 76-94 years) and 91.0 ± 7.0 years (range, 79-101 years), respectively. The mean dementia duration was 7.0 ± 4.0 years (range, 1-13 years). All patients exhibited memory loss although none were diagnosed with SD-NFT during their lifetime. The mean brain weight was 1124.2 ± 132.1 g (range, 980-1390 g). Three patients displayed HS. NFT and GT densities were significantly higher in patients with HS than in those without HS. No significant correlation was found between HS and p-TDP-43 inclusions in the medial temporal lobe.
Conclusion:
In SD-NFT, NFTs are more strongly associated with HS. This finding enhances our understanding of the pathological underpinnings of HS in SD-NFT.
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